code: def test_2d_eval_remains_stochastic(is_deterministic):
      dummy_input = torch.randn(8, 1, 5, 5)
      test_module = torch.nn.Sequential(
          torch.nn.Conv2d(1, 1, 1),
          torch.nn.ReLU(),
          baal.bayesian.dropout.Dropout2d(p=0.5),
          torch.nn.Conv2d(1, 1, 1),
      )
      test_module.eval()
      torch.manual_seed(2019)
      assert not is_deterministic(test_module, (8, 1, 5, 5))
  
file_path: baal/tests/bayesian/dropout_test.py
imports: import warnings
  import pytest
  import torch
  import baal.bayesian.dropout
label_desc: Use image node_id 3 for calling a global function with example usage: test_2d_eval_remains_stochastic(is_deterministic) without return types